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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 21853
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    Explanations

    text related to citations and references in academic writing

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific studies and data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hosting
    -0.78
    anmar
    -0.75
     imperson
    -0.70
     shrouded
    -0.66
     wiped
    -0.65
     uploading
    -0.65
     pledged
    -0.65
     targets
    -0.65
     listens
    -0.65
     transfers
    -0.63
    POSITIVE LOGITS
     supra
    1.38
     ¶
    0.98
     Ibid
    0.96
     pp
    0.95
     §
    0.93
    Footnote
    0.91
    bid
    0.89
     §§
    0.89
     Proceedings
    0.89
     iii
    0.87
    Activations Density 0.499%

    No Known Activations